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【影视】 Demi Hawks & Explicit Kait - Learning The Basics_1080p.mp4

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【影视】 Linkedin Learning Python In Excel-Working With Pandas DataFrames

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2. Introduction to pandas/3. Data selection.mp4 27.4 MB
4. Time Series Analysis/6. Case study- Sales dashboard.mp4 27.3 MB
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2. Introduction to pandas/1. Hello World.mp4 10.5 MB
5. Conclusion/1. The next steps for learning more about Python in Excel.mp4 6.7 MB
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【影视】 machine-learning-with-ml.-net

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[TutsNode.com] - Machine Learning with ML.NET/3 Getting started with ML.NET.mp4 249.4 MB
[TutsNode.com] - Machine Learning with ML.NET/2 ML.NET introduction.mp4 178.6 MB
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[TutsNode.com] - Machine Learning with ML.NET/8 Deep learning with ML.NET Image classification.mp4 129.8 MB
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[TutsNode.com] - Machine Learning with ML.NET/4 Build an ML model for sentiment analysis.mp4 93.1 MB
[TutsNode.com] - Machine Learning with ML.NET/1 ML.NET Machine learning introduction.mp4 75.3 MB
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[TutsNode.com] - Machine Learning with ML.NET/7 Build an ML model for movie recommendations.en.srt 11.4 kB
[TutsNode.com] - Machine Learning with ML.NET/4 Build an ML model for sentiment analysis.en.srt 10.7 kB
[TutsNode.com] - Machine Learning with ML.NET/6 Build an ML model for predicting taxi fares.en.srt 10.1 kB
machine-learning-with-ml.-net_meta.sqlite 9.2 kB
[TutsNode.com] - Machine Learning with ML.NET/8 Deep learning with ML.NET Image classification.en.srt 9.2 kB
[TutsNode.com] - Machine Learning with ML.NET/1 ML.NET Machine learning introduction.en.srt 7.9 kB
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【影视】 Combo.Cursos.de.Machine.Learning.com.R.Modulos.1.e.2

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6. Módulo 1 - Regressão Logística/2. Regressão logística (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. RegLogisticaTeoria.mp4 1.2 GB
15. Módulo 2 - PCA/1. Principal Component Analysis - PCA (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. PCAteoria.mp4 1.2 GB
18. Módulo 2 - AdaBoost/1. AdaBoost (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. ADAboostTeoria.mp4 1.1 GB
16. Módulo 2 - Random Forest/2. RandomForest (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. RandomForestTeoria.mp4 557.4 MB
8. Módulo 1 - KNN/1. KNN (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. KNN teoria.mp4 471.1 MB
20. Módulo 2 - Bagging/1. Bagging (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. BaggingTeoria.mp4 467.2 MB
1. Módulo 1 - Conceitos Básicos/3. Viés e Variância/1. Viés e Variância.mp4 464.8 MB
17. Módulo 2 - ExtraTrees/1. ExtraTrees (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. ETteoria.mp4 390.6 MB
1. Módulo 1 - Conceitos Básicos/4. Visão geral dos algoritmos de machine learning/1. Visão geral algoritmos ML.mp4 388.5 MB
2. Módulo 1 - Regressão Linear/1. Regressão linear (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. A matemática do Gradiente Descendente & Regressão Linear (machine learning).mp4 382.1 MB
12. Módulo 1 - Testando seus conhecimentos/3. Solução do exercício prático final - Parte 2/1. 10_2_DesafioSol_2.mp4 327.2 MB
14. Módulo 2 - Aprendizado não supervisionado/3. Clustering K Means (encontrando o número ideal de clusters)/1. KmeansNumClusters.mp4 321.9 MB
10. Módulo 1 - Decision Trees/3. Decision Trees evitando overfitting/1. DToverfitting.mp4 306.2 MB
13. Módulo 2 - Dados missing com Regressão/1. Substituindo dados missing com um modelo de regressão (Teoria)/1. MissingRegressaoTeoria.mp4 274.1 MB
4. Módulo 1 - Outros modelos de regressão linear/3. Regularização L1, L2 e regressão Lasso/1. Regularização L1 L2.mp4 265.7 MB
3. Módulo 1 - Pré-processamento/3. Feature selection correlação (conceito)/1. NatiCorrelacao.mp4 237.7 MB
1. Módulo 1 - Conceitos Básicos/1. Como estudar esse curso/1. AberturaCurso.mp4 226.2 MB
3. Módulo 1 - Pré-processamento/1. Pré-processamento dados missing/1. Dados missing Nati_Pronto.mp4 204.3 MB
22. Módulo 2 - Testando seus conhecimentos/2. Solução do exercício prático final/1. ML_2_10_DESAFIOsol.mp4 183.1 MB
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【影视】 LinkedIn Learning - Advance Your Skills in Python - Complete 7 Courses

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3. Python Data Structures and Algorithms/2 - The Stack Data Structure/2. Build a stack class in Python.mp4 43.1 MB
3. Python Data Structures and Algorithms/4 - Depth-First Search Algorithm/4. Code a depth-first search in Python.mp4 38.2 MB
3. Python Data Structures and Algorithms/5 - The Queue Data Structure/2. Build a queue class in Python.mp4 26.4 MB
3. Python Data Structures and Algorithms/6 - The Breadth-First Search Algorithm/3. Code a breadth-first search in Python.mp4 26.1 MB
5. Python GUI Development with Tkinter/0 - Introduction/1. Create a GUI for your Python desktop application.mp4 25.6 MB
3. Python Data Structures and Algorithms/8 - The A Search Algorithm/3. Code the A algorithm in Python.mp4 25.2 MB
3. Python Data Structures and Algorithms/7 - The Priority Queue Data Structure/2. Use the heap module to implement a priority queue.mp4 22.3 MB
1. Hands-On Introduction Python onehack.us/3 - Let's Build Something!/1. Reading a CSV file.mp4 20.8 MB
3. Python Data Structures and Algorithms/8 - The A Search Algorithm/2. Visualize the A algorithm.mp4 20.5 MB
3. Python Data Structures and Algorithms/1 - Pathfinding Algorithms in a Maze Game/1. Understand the example application.mp4 17.6 MB
1. Hands-On Introduction Python onehack.us/0 - Introduction/3. Using GitHub Codespaces with this course.mp4 17.4 MB
6. Create an Open-Source Project in Python/3 - Tidy Up Your Code/1. What is PEP 8.mp4 16.9 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/8. How to perform Vader sentiment analysis.mp4 16.8 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/4. How to clean text data.mp4 16.5 MB
4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/9. Solution.mp4 16.5 MB
4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/7. Solution.mp4 16.2 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/10. How to perform topic modeling.mp4 15.8 MB
1. Hands-On Introduction Python onehack.us/4 - Extending a Service/2. Extending a small web server.mp4 15.7 MB
1. Hands-On Introduction Python onehack.us/3 - Let's Build Something!/3. Outputting JSON.mp4 15.5 MB
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【影视】 Yoga Learning Tutorial (Full)

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Restorative Yoga Flow - Day 22 - 30 Day Yoga Challenge - YouTube.mp4 194.2 MB
Restorative Yoga Workout - Day 11 - 30 Day Yoga Challenge - YouTube.mp4 192.9 MB
Day 1 - 30 Day Yoga Challenge - Let's Get Started! - YouTube.mp4 182.5 MB
Yoga Twists - Day 19 - 30 Day Yoga Challenge - YouTube.mp4 177.8 MB
Yoga For The Neck And Upper Back - Day 23 - 30 Day Yoga Challenge - YouTube.mp4 167.9 MB
Head-to-Toe Yoga Sequence - Day 18 - 30-Day Yoga Challenge - YouTube.mp4 167.5 MB
Yoga for the IT Bands - Day 27 - 30 Day Yoga Challenge - YouTube.mp4 167.2 MB
Yoga Workout For Chest & Shoulders - Day 2 - 30 Day Yoga Challenge - YouTube.mp4 165.4 MB
Yoga for Runners - Day 14 - 30 Day Yoga Challenge - YouTube.mp4 163.2 MB
Yoga For Back Flexibility - Day 8 - 30 Day Yoga Challenge - YouTube.mp4 159.8 MB
Slow Full-Body Flow - Day 17 - 30 Day Yoga Challenge - YouTube.mp4 157.5 MB
No-Sweat Morning Yoga - Day 24 - 30 Day Yoga Challenge - YouTube.mp4 152.8 MB
Yoga For The Lower Back - Day 6 - 30 Day Yoga Challenge - YouTube.mp4 149.4 MB
Non-Stop Standing Flow - Day 15 - 30 Day Yoga Challenge - YouTube.mp4 148.0 MB
Lower Back and Hip Opening Yoga - Day 13 - 30 Day Yoga Challenge - YouTube.mp4 145.9 MB
Shoulder Strengthening Yoga - Day 20 - 30 Day Yoga Challenge - YouTube.mp4 145.0 MB
Sun Salutation Yoga Flow - Day 25 - 30 Day Yoga Challenge - YouTube.mp4 144.5 MB
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【影视】 102270781 - Ersties - Learning To Satisfy a Woman.mp4

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7. Project 3- Number Guesser/2. Higher lower and polish.mp4 20.2 MB
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6. Functions and More/5. Input.mp4 12.6 MB
2. Python Basics/4. Using variables in strings.mp4 12.1 MB
4. Lists Loops and Dictionaries/4. Dictionaries.mp4 11.8 MB
2. Python Basics/1. Variables.mp4 11.5 MB
5. Project 2- Lyrics Analyzer/1. Splitting a string.mp4 11.4 MB
4. Lists Loops and Dictionaries/2. Lists- Add insert delete.mp4 11.4 MB
2. Python Basics/3. Strings.mp4 10.4 MB
6. Functions and More/3. Return.mp4 10.2 MB
2. Python Basics/2. Numbers- Ints and floats.mp4 9.3 MB
6. Functions and More/2. Parameters.mp4 9.3 MB
4. Lists Loops and Dictionaries/1. Lists.mp4 9.3 MB
6. Functions and More/4. Comments.mp4 8.9 MB

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【影视】 [FreeCourseSite.com] Udemy - Machine Learning Essentials (2023) - Master core ML concepts

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5. Logistic Regression/3. Hypothesis Function.mp4 285.5 MB
3. Linear Regression/7. Gradient Descent Code.mp4 284.5 MB
19. Ensemble Learning Boosting/5. GBDT Algorithm.mp4 257.1 MB
4. Linear Regression - Multiple Features/8. Code 04 - Gradient Computation.mp4 233.1 MB
12. Naive Bayes Algorithm/7. Understanding Golf Dataset.mp4 229.4 MB
19. Ensemble Learning Boosting/3. Boosting Mathematical Formulation.mp4 221.8 MB
13. Multinomial Naive Bayes/4. Bernoulli Naive Bayes.mp4 214.7 MB
15. Decision Trees/5. Information Gain.mp4 209.2 MB
2. Supervised vs Unsupervised Learning/2. Supervised Learning Example.mp4 207.7 MB
9. PROJECT - Face Recognition/7. Face Recognition 01 - Data Collection.mp4 207.6 MB
3. Linear Regression/4. Loss Error Function.mp4 204.9 MB
12. Naive Bayes Algorithm/6. Computing Likelihood.mp4 202.5 MB
13. Multinomial Naive Bayes/3. Multinomial Naive Bayes Example.mp4 187.9 MB
7. Principal Component Analysis (PCA)/3. Maximising Variance.mp4 186.6 MB
3. Linear Regression/2. Notation.mp4 179.7 MB
3. Linear Regression/11. Code 02 - Data Normalisation.mp4 179.2 MB
12. Naive Bayes Algorithm/10. CODE - Likelihood.mp4 174.6 MB
12. Naive Bayes Algorithm/5. Naive Bayes for Text Classification.mp4 168.5 MB
14. PROJECT Spam Classifier/2. Data Clearning.mp4 165.6 MB
19. Ensemble Learning Boosting/4. Concept of Pseudo Residuals.mp4 160.2 MB

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